| 한글제목(Korean Title) |
Unmanned Aerial Vehicles Tracking using Mixture of Gaussian and Optical Flow |
| 영문제목(English Title) |
Unmanned Aerial Vehicles Tracking using Mixture of Gaussian and Optical Flow |
| 저자(Author) |
Gicheol Kim
Sohee Son
Haechul Choi
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| 원문수록처(Citation) |
VOL 10 NO. 01 PP. 0348 ~ 0351 (2018. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Background subtraction is very useful for object detection from image sequences. The Mixture of Gaussian (MOG) algorithm that is a representative example for the background subtraction makes 3-5 Gaussian models per pixel as background to robust to a variety of background changes. as background, which is robust to background change. Optical Flow is a typical method to object tracking. It is an apparent motion pattern in image sequences represented by the relative movement between objects and background. This paper introduces a combination method of the MOG and the Optical Flow for robust object tracking. The proposed method achieves foreground regions using the MOG, and it applies the Optical Flow only to the foreground regions. The experimental results show that the proposed method can track an unmanned aerial vehicle well under being robust to noise and other moving objects.
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| 키워드(Keyword) |
Background Subtraction
Mixture of Gaussians
Object Tracking
Optical Flow
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| 파일첨부 |
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